AI Hackathon - Knowledge Graph Council & National Science Foundation
GenhaxNew York, New York
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Overview
Schedule
Full-time
Career level
Senior-level
Remote
Remote
Benefits
Career Development
Tuition/Education Assistance
Job Description
Artificial Intelligence- Hackathon- Knowledge Graph Council & National Science Foundation
November 7th- 24th 2024
US - Remote
Are you ready to help solve society’s most pressing challenges using data, knowledge, and AI?
This November, KnowHax, the Hackathon platform selected by The National Science Foundation (NSF) and Knowledge Graph Conference (KGC), will host challenges in partnership with organizations and colleges in the Knowledge Graph and Semantic Visualizations ecosystem.
Learn and collaborate with experts and fellow hackers in the community, and learn more about Knowledge graphs and AI semantic visualizations, and how they enable machines to understand, organize, and interpret complex relationships between data, making AI systems more intelligent, contextual, and capable of delivering insights in a human-understandable way.
Time Commitment: Average of 2 hours per day
- Explore Knowledge Graph visualizations
- Learn how to leverage AI Semantic Visualizations
- Advance your research while supporting social and environmental causes
- Earn certificates and badges to enhance your career
- Showcase your talent with the NSF and KGC and collaborating research teams
- Connect with amazing people and enjoy co-creating together!
We are looking for Participants with skills and interests in the following areas (please note, all these skills are nice to have, not mandatory requirements).
Technical Skills and Interests:
- Machine Learning & Deep Learning: Understanding algorithms, model training, and optimization.
- Data Science & Analytics: Skills in data collection, cleaning, processing, and visualization.
- Programming: Proficiency in languages such as Python, R, JavaScript, C++, Core Java, and Frontend Frameworks such as Rect, Vue, and Angular.
- Familiarity with AI Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
- Natural Language Processing (NLP): text analysis, sentiment detection, and language models.
- Computer Vision: Understanding of image recognition, object detection, and image classification.
- Knowledge of Cloud Platforms: Experience with AWS, Google Cloud, or Azure for deploying AI models.
- APIs & Integrations: Ability to connect AI models to external applications through APIs.
- Data Visualization: Skills in presenting data insights through visual tools like Matplotlib, D3.js, or Tableau.
Interpersonal skills
- Problem-Solving:
- Collaboration & Teamwork
- Communication
- Creativity
- Adaptability
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FAQs About AI Hackathon - Knowledge Graph Council & National Science Foundation Jobs at Genhax
What is the work location for this position at Genhax?
This job at Genhax is located in New York, New York, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Genhax?
Employer has not shared pay details for this role.
What employment applies to this position at Genhax?
Genhax lists this role as a Full-time position.
What experience level is required for this role at Genhax?
Genhax is looking for a candidate with "Senior-level" experience level.
Does Genhax allow remote work for this role?
Yes, this position at Genhax supports remote work, giving candidates the flexibility to work outside the primary office location.
What benefits are offered by Genhax for this role?
Genhax offers following benefits: Career Development and Tuition/Education Assistance for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Genhax?
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